Dr.Habte TadesseΒ Likassa,Β Biomedical Image processing,Β Arizona State University, USA,Β United States
Dr. Habte Tadesse Likassa, an esteemed researcher in Biomedical Image Processing at Arizona State University, USA, has been honored with the Best Researcher Award in Neuroscience. His pioneering work delves into the intricate realm of analyzing biomedical images to advance our understanding of neurological disorders and treatments. Dr. Likassa’s contributions are marked by innovation and a commitment to unraveling the complexities of the human brain π§ , utilizing cutting-edge technologies to enhance medical diagnostics and therapies. His accolade underscores his significant impact in merging neuroscience with advanced image processing techniques, promising profound implications for healthcare and scientific advancement globally.
Profile
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Educational Background
Dr. Habte Tadesse Likassa completed his academic journey with distinction, culminating in a Ph.D. in Statistics from National Taiwan University of Science & Technology in July 2019. His doctoral research focused on developing innovative robust methods for detecting outliers and handling heavy sparsity in high-dimensional images. Prior to this, he earned a Master’s degree in Statistics from Addis Ababa University in 2011 and a Bachelor’s degree from the University of Gondar in 2008. His coursework included intensive studies in detection and estimation theory, optimization techniques, and machine learning, totaling 24 credit hours. π
Research Interest
Dr. Habte Tadesse Likassa specializes in deep robust algorithms and statistical signal processing, advanced machine learning, modeling, applied and spatial statistics, and optimization techniques. His expertise spans cutting-edge methodologies that enhance algorithmic resilience and accuracy in complex data environments. Dr. Likassa’s work not only advances theoretical frameworks but also applies them practically to solve real-world challenges. His research embodies a synergy of statistical rigor and computational efficiency, crucial in today’s data-driven era π.
Work Experience
Dr. Habte Tadesse Likassa has been instrumental in Ethiopia’s Ministry of Planning and Development since 2020, focusing on GIS and modeling as a consultant. His work spans diverse areas such as water risk modeling with the World Resource Institute, integrating water and climate issues into strategic plans, and researching the economic impacts of initiatives like the Green Legacy using GIS and statistical analysis. He has also contributed significantly to understanding the economic costs of conflicts in northern Ethiopia, using GIS to map conflict hotspots and analyzing inflation and sector-specific damages. His expertise underscores a commitment to informed policymaking and sustainable development π.
Teaching and research experience
Dr. Habte Tadesse Likassa is a seasoned academic with a rich background in statistics and research. His career spans diverse roles including postdoctoral fellowships at the Chinese Academy of Sciences and Federal University of CearΓ‘, Brazil. He has held positions as an assistant professor at Addis Ababa University and Ambo University, where he also served as V/Dean. Dr. Likassa is deeply involved in academia, having delivered numerous courses and training sessions in statistical methods across various universities in Ethiopia. His contributions extend to reviewing for prominent journals and leading research projects, reflecting his commitment to advancing statistical science π.
Awards
Dr. Habte Tadesse Likassa is a distinguished scholar recognized for his outstanding achievements on the international stage. His accolades include the prestigious Best Presenter Awards at international conferences in Taiwan, Republic of China, and a full scholarship at National Taiwan University of Science and Technology. Dr. Likassa has also been highly commended for his research presentations at various universities across Ethiopia, including Addis Ababa University, Arba Minch, Dire Dawa, Haromaya, and Werabe Universities, garnering great appreciation. As Principal Investigator, he secured significant funding, notably 800,000 Birr for projects investigating the economic impact of COVID-19 in Ethiopia ππ
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Publications Top Notes
Factors influencing exclusive breastfeeding practice among under-six months infants in Ethiopia
The impacts of covariates on spatial distribution of corona virus 2019 (COVID-19): what do the data show through ANCOVA and MANCOVA
Robust regression for image alignment via subspace recovery techniques
Modified robust image alignment by sparse and low rank decomposition for highly linearly correlated data
Predictive models on COVID 19: What Africans should do?
Robust Image Recovery via Affine Transformation andΒ Β Norm
New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius andΒ L2,1Β Norms
New Robust Regularized Shrinkage Regression for HighβDimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization
New Robust PCA for Outliers and Heavy Sparse Noisesβ Detection via Affine Transformation, theΒ Lβ,wΒ andΒ L2,1Β Norms, and Spatial Weight Matrix in HighΒ β¦
Binary Logistic Regression Analysis in Assessing and Identifying Factors that Influence the Use of Family Planning: The Case of Ambo Town, Ethiopia